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QoS for 5G Mobile Services Based on Intelligent Multi-access Edge Computing

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Intelligent Mobile Service Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

5G, as well as, the future wireless broadband networks and services should collect data in a reliable way, in order to provide valuable data to the cloud computing data centers, so they can perform analysis of big data. Therefore, advanced mechanisms for machine learning, advanced machine-to-machine communications, and intelligent mobile edge computing with artificial intelligence for efficient analysis and processing of data in order to secure a prompt response and guaranteed QoS to the end users should be included at the network’s edge. This chapter is about 5G mobile and wireless networks and their cloud computing and QoS mechanisms. Furthermore, a novel advanced QoS concept for 5G mobile services based on Intelligent Multi-access Edge Computing together with radio network aggregation capability and cloud computing orchestration mechanisms are presented. In addition, network slicing in 5G is also elaborated. Finally, 5G features about vertical multi-homing and multi-streaming for smart end user terminal devices combined with the capability of radio network aggregation are also elaborated. The novelty in the presented concepts and platforms for Intelligent Multi-access Edge Computing and QoS mechanisms is that they provide the highest level of user access probability ratio, the greatest user throughput, and the greatest number of satisfied smart device users, with minimum service cost and optimized utilization of network assets due to the sharing of the traffic load. The performed analysis in this chapter demonstrates that performance gain with the Intelligent Multi-access Edge Computing module in 5G mobile terminal is higher if there are more available radio access points in comparison with the scenarios with a lower number of radio access points.

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Author information

Authors and Affiliations

  1. Faculty of Informatics, Mother Teresa University, Skopje, Macedonia

    Stojan Kitanov

  2. Faculty of Electrical Engineering and Information Technologies, Ss Cyril and Methodius University, Skopje, Macedonia

    Tomislav Shuminoski & Toni Janevski

Authors
  1. Stojan Kitanov
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  2. Tomislav Shuminoski
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  3. Toni Janevski
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Corresponding author

Correspondence to Stojan Kitanov .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Hangzhou Dianzi University, Hangzhou, China

    Yuyu Yin

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Kitanov, S., Shuminoski, T., Janevski, T. (2021). QoS for 5G Mobile Services Based on Intelligent Multi-access Edge Computing. In: Gao, H., Yin, Y. (eds) Intelligent Mobile Service Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-50184-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-50184-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50183-9

  • Online ISBN: 978-3-030-50184-6

  • eBook Packages: EngineeringEngineering (R0)

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